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The concepts of topical and focused crawling were first introduced by Filippo Menczer [20] [21] and by Soumen Chakrabarti et al. [22] The main problem in focused crawling is that in the context of a Web crawler, we would like to be able to predict the similarity of the text of a given page to the query before actually downloading the page.
Distributed web crawling is a distributed computing technique whereby Internet search engines employ many computers to index the Internet via web crawling. Such systems may allow for users to voluntarily offer their own computing and bandwidth resources towards crawling web pages.
Googlebot is the web crawler software used by Google that collects documents from the web to build a searchable index for the Google Search engine. This name is actually used to refer to two different types of web crawlers: a desktop crawler (to simulate desktop users) and a mobile crawler (to simulate a mobile user).
We found the best technology for adults over 65 at CES this year. From AI aids to ‘aging in place’ smart home solutions, the annual tech show kept older users in mind.
In addition, ontologies can be automatically updated in the crawling process. Dong et al. [15] introduced such an ontology-learning-based crawler using support vector machine to update the content of ontological concepts when crawling Web Pages. Crawlers are also focused on page properties other than topics.
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